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@article{Zou2023,

title = {Operations research on the sharing economy: A bibliometric analysis and literature review},

author = {Liuxin Zou and Jiang Wu and Yeming Gong and Mingyang Chen and Mengchen Xia},

url = {https://www.sciencedirect.com/science/article/pii/S1567422323000303},

doi = {https://doi.org/10.1016/j.elerap.2023.101265},

issn = {1567-4223},

year  = {2023},

date = {2023-04-26},

journal = {Electronic Commerce Research and Applications},

pages = {101265},

abstract = {Previous studies on the sharing economy have not utilized bibliometrics to classify the main stakeholders from the perspective of operations research (OR). In this study, we utilize the bibliometric method to review the supply side, demand side, the platform, and their optimization models. Based on the bibliometric network, we propose a complete multi-level framework to study the optimization decisions of stakeholders and the key factors that may influence optimal decisions in the sharing economy. The pricing, behavioral characteristics, operating strategies, and incentive methods of the three stakeholders will affect the optimal decisions and models. Multi-party interaction significantly affects the decision-making behavior of stakeholders. The sharing economy introduces a new business model to traditional industrial applications, such as transportation and trade, and has both positive and negative effects on the economy, environment, and society. We identify future research in the ecosystem of the sharing economy, hybrid methods, and breakthrough technologies, such as blockchain, AI, and data-driven optimization.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bai2022,

title = {Mapping the evolution of e-commerce research through co-word analysis: 2001–2020},

author = {Yang Bai and Hongxiu Li},

url = {https://www.sciencedirect.com/science/article/pii/S1567422322000746},

doi = {/10.1016/j.elerap.2022.101190},

issn = {1567-4223},

year  = {2022},

date = {2022-08-17},

urldate = {2022-08-17},

journal = {Electronic Commerce Research and Applications},

volume = {55},

pages = {101190},

abstract = {This current study examines how research themes and trends have developed in the e-commerce field, aiming to provide a comprehensive understanding of e-commerce research based on prior literature. To answer this question, the current study applied a bibliometric method, word co-occurrence (co-word) analysis, to identify core research themes and trends in the e-commerce field, based on 17,416 author-provided keywords collected from 3,284 academic articles published between 2001 and 2020 in seven major journals in e-commerce field. Specifically, the data were analyzed based on two periods: 2001–2010 and 2011–2020. We found that the research themes in the e-commerce field have evolved alongside technology’s development and diffusion. Some research themes, such as recommended system and eGovernment, have persisted as important research themes and studied continuously over the 20 years studied. Some research themes studied in 2001–2010, such as B2C and XML, disappeared in 2011–2020, whereas some new research topics, such as cloud computing, mobile technologies, artificial intelligence, and machine learning, emerged in recent years. This study provides a good understanding of e-commerce research’s evolution, as well as useful suggestions to direct future research by scholars in the e-commerce field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}